Correlation Between LithiumBank Resources and Algoma Steel
Can any of the company-specific risk be diversified away by investing in both LithiumBank Resources and Algoma Steel at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining LithiumBank Resources and Algoma Steel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LithiumBank Resources Corp and Algoma Steel Group, you can compare the effects of market volatilities on LithiumBank Resources and Algoma Steel and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in LithiumBank Resources with a short position of Algoma Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of LithiumBank Resources and Algoma Steel.
Diversification Opportunities for LithiumBank Resources and Algoma Steel
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between LithiumBank and Algoma is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding LithiumBank Resources Corp and Algoma Steel Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Algoma Steel Group and LithiumBank Resources is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on LithiumBank Resources Corp are associated (or correlated) with Algoma Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Algoma Steel Group has no effect on the direction of LithiumBank Resources i.e., LithiumBank Resources and Algoma Steel go up and down completely randomly.
Pair Corralation between LithiumBank Resources and Algoma Steel
Assuming the 90 days trading horizon LithiumBank Resources Corp is expected to generate 2.71 times more return on investment than Algoma Steel. However, LithiumBank Resources is 2.71 times more volatile than Algoma Steel Group. It trades about 0.02 of its potential returns per unit of risk. Algoma Steel Group is currently generating about -0.25 per unit of risk. If you would invest 28.00 in LithiumBank Resources Corp on December 2, 2024 and sell it today you would lose (1.00) from holding LithiumBank Resources Corp or give up 3.57% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.39% |
Values | Daily Returns |
LithiumBank Resources Corp vs. Algoma Steel Group
Performance |
Timeline |
LithiumBank Resources |
Algoma Steel Group |
LithiumBank Resources and Algoma Steel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LithiumBank Resources and Algoma Steel
The main advantage of trading using opposite LithiumBank Resources and Algoma Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LithiumBank Resources position performs unexpectedly, Algoma Steel can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Algoma Steel will offset losses from the drop in Algoma Steel's long position.LithiumBank Resources vs. Jamieson Wellness | LithiumBank Resources vs. Diamond Estates Wines | LithiumBank Resources vs. Reliq Health Technologies | LithiumBank Resources vs. Major Drilling Group |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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